Zou C, Mankowski W, Pantalone L, Horng H, Setia Verma S, Mortani Barbosa EJ Jr, Cook TS, Noel PB, Carpenter EL, Thompson JC, Shinohara RT, Roshkovan L, Katz SI, Kontos D Transformer-based Fusion of Longitudinal Multimodal Radiomic Features from Chest Radiography and CT in COVID-19
, Radiology Artificial Intelligence , e240218: 2026
Tianyu Han, Riga Wu, Yu Tian, Firas Khader, Lisa C. Adams, Keno K. Bressem, Christos Davatzikos, Jakob Nikolas Kather, Li Shen, David A. Mankoff, Eduardo Mortani Barbosa Jr, and Daniel Truhn CLEAR: An Auditable Foundation Model for Radiology Grounded
in Clinical Concepts , MedRxiv: 2026
Mortani Barbosa EJ Jr, Kim Y, Zhang Y, Setio AAA, Mellot F, Grenier PA, Zimmermann M, Georgescu B, Grbic S, Gefter WB Deep Learning–Based Pulmonary Nodule Risk Assessment Outperforms Established Malignancy Risk Scores in Lung Cancer Screening , Radiology Advances, 3(1): 2026
EB A novel AI strategy of combining large dataset training, population specific retraining and confidence estimation to improve classification performance in estimating pulmonary nodule malignancy risk , RSNA Annual Meeting, Chicago, IL: 2025
Eduardo Mortani Barbosa Jr, Yohan Kim, Warren Gefter, Bodgan Georgescu, Yanbo Zhang, Sasa Gbric Challenges in Generalizing DL Models for Lung Nodule Classification: Insights from Screening and High-Risk Biopsy-Proven Cohorts , European Society of Thoracic Imaging Annual Meeting: 2025
Eduardo Mortani Barbosa Jr, Zhuoyang Wang AI/ML models can leverage socio-economic factors and clinical context to predict adherence to incidental pulmonary nodule follow-up , European Society of Thoracic Imaging Annual Meeting: 2025
Eduardo Mortani Barbosa Jr, Justin Shanahan, Emily Minus Hierarchical clustering of ILD patients relying on clinical, pathological, PFT and radiological data improves prognostication when compared to the standard of care multidisciplinary consensus diagnosis , European Society of Thoracic Imaging Annual Meeting: 2025
Eduardo Mortani Barbosa Jr, Justin Shanahan The value of machine learning AI models for classification of interstitial lung diseases, leveraging comprehensive sociodemographic, clinical, imaging and PFT data , European Society of Thoracic Imaging Annual Meeting: 2025
Eduardo Mortani Barbosa Jr, Yohan Kim, Zhuoyang Wang The value of AI/ML models to predict continued participation in lung cancer screening, leveraging demographics and socioeconomic determinants of health , European Society of Thoracic Imaging Annual Meeting: 2025
Y. Su, M. Colfer, P. Stecher, H.Litt, J. Jacob, A. Donuru, S. Simpson, E. Mortani Barbosa Jr, A. Nachiappan Optimization Techniques for Rescan of Problematic CT Pulmonary Angiograms , RSNA Annual Meeting, Chicago, IL: 2024